{"id":"W2765733711","doi":"10.2196/mhealth.7318","title":"Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"mHealth; Usability; Mental health; Mobile apps; Posttraumatic stress; App store; Telemedicine; Psychology; Medicine; Internet privacy; Applied psychology; Clinical psychology; Psychiatry; Computer science; World Wide Web; Psychological intervention; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007156563,0.0002385341,0.000507744,0.0001091098,0.001111164,0.0002215178,0.0001450232,0.0001198936,0.00002916377],"category_scores_gemma":[0.00005459987,0.0002192266,0.00003611128,0.0001065114,0.0002612744,0.0004249347,0.0001064471,0.0003528879,0.00001668281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006516433,"about_ca_system_score_gemma":0.0001558719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006841478,"about_ca_topic_score_gemma":0.0004641714,"domain_scores_codex":[0.9976905,0.0002395327,0.0007588223,0.0005379986,0.0001655427,0.0006075937],"domain_scores_gemma":[0.9977739,0.00008742924,0.000661129,0.0005365777,0.00005174656,0.0008892553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009598357,0.0004779042,0.03506449,0.2205187,0.00003010461,0.0000141857,0.007275529,1.555135e-7,6.121468e-7,0.01246005,0.005134439,0.7189279],"study_design_scores_gemma":[0.003636619,0.006523565,0.7718806,0.201268,0.00009690459,0.0004765637,0.00147856,0.000102834,0.00000361551,0.004831447,0.008867563,0.0008337187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6027283,0.3737337,0.0000147913,0.01819059,0.0005756693,0.003682815,0.0001946295,0.00008212969,0.0007973652],"genre_scores_gemma":[0.9253715,0.06358113,0.0003008897,0.008849845,0.0001265332,0.001057263,0.0001292542,0.00003939862,0.00054424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7368161,"threshold_uncertainty_score":0.8939801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08633575226224889,"score_gpt":0.4725643931353866,"score_spread":0.3862286408731377,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}